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# Copyright 2024 Llamole Team
#
# This code is inspired by the HuggingFace's transformers library.
# https://github.com/huggingface/transformers/blob/v4.40.0/examples/pytorch/summarization/run_summarization.py
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import gradio as gr
import numpy as np
def create_input_components(default_values, property_names, property_ranges):
initial_property_type = default_values.get('type', 'Material')
with gr.Blocks() as interface:
with gr.Row():
with gr.Column(scale=2):
instruction = gr.Textbox(
label="Instruction",
value=default_values.get('instruction', ''),
lines=3,
placeholder="Enter your instruction here..."
)
with gr.Column(scale=1):
property_type = gr.Radio(
["Drug", "Material"],
label="Property Type",
value=initial_property_type,
interactive=True
)
with gr.Row():
drug_properties = {}
for prop in ["HIV", "BBBP", "BACE"]:
default_value = default_values.get('property', {}).get(prop, "NAN")
drug_properties[prop] = gr.Radio(
[0, 1, "NAN"],
label=f"{property_names[prop]} ({prop})",
value=default_value if default_value in [0, 1, "NAN"] else "NAN",
visible=initial_property_type == "Drug",
interactive=True
)
material_properties = {}
for prop in ["CO2", "N2", "O2", "FFV", "TC"]:
min_val = property_ranges[prop]['min']
max_val = property_ranges[prop]['max']
default_value = default_values.get('property', {}).get(prop, 0)
material_properties[prop] = gr.Slider(
label=f"{property_names[prop]} (0 for uncondition)",
minimum=0,
maximum=max_val,
value=default_value if default_value != "NAN" else 0,
step=0.1,
visible=initial_property_type == "Material",
interactive=True
)
with gr.Row():
synthetic_properties = {}
for prop in ["SC", "SA"]:
min_val = property_ranges[prop]['min']
max_val = property_ranges[prop]['max']
default_value = default_values.get('property', {}).get(prop, (min_val + max_val) / 2)
synthetic_properties[prop] = gr.Slider(
label=f"{property_names[prop]} ({prop})",
minimum=min_val,
maximum=max_val,
value=default_value if not np.isnan(default_value) else (min_val + max_val) / 2,
step=(max_val - min_val) / 100,
interactive=True
)
def update_visibility(property_type):
return (
[gr.update(visible=(property_type == "Drug")) for _ in drug_properties.values()] +
[gr.update(visible=(property_type == "Material")) for _ in material_properties.values()]
)
property_type.change(
update_visibility,
inputs=[property_type],
outputs=list(drug_properties.values()) + list(material_properties.values())
)
return interface, instruction, property_type, drug_properties, material_properties, synthetic_properties |